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《Journal of Transcluction Technology》 2003-01
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Design of Model Perceptron Based on Exponent Neuron

TIAN Guangjun\ YANG Lijun\ \ SHI Jinshan (College of Electrical Engineering, Yanshan University, Qinhuangdao Hebei 066004,P.R.China)  
With the structure of neuron perceptron and adaptive algorithm combined, an adaptive modeling perceptron based on exponential neuron is designed, for measurement of such measurands as temperature, moisture, humidity, conductivity, viscosity, etc. Simultaneously, in some sense, it can realize fusion of space-time signal. The effect of learning parameters upon adaptive performance is discussed. Simulation curves with adaptive algorithm are given, and the modeling perceptron proved to be effective and available. This modeling scheme and its mechanism can also be applied to actual measurement or control system as an intelligent unit(hardware or software) instead of rigid mathematical model by manual curve fitting.
【CateGory Index】: TP212
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